3 papers
cs.IR2026
PCGNet: Unifying Shared and Specific Information for Fashion Matching Recommendations
Shuiying Liao, P. Y. Mok
In fashion domain, recommending complementary clothing items that match selected pieces is a crucial cross-selling technique that improves customer satisfaction. Nevertheless, fash…
cs.IR2026
Hamiltonian Spectral-Temporal Dissipative Dynamics for Sequential Recommendation
Shuiying Liao, P. Y. Mok
Sequential recommendation requires understanding how user preferences evolve over time, yet most existing models treat such evolution as a first order process where the next state…
cs.IR2024
Consistency Regularization for Complementary Clothing Recommendations
Shuiying Liao, P. Y. Mok, Li Li
This paper reports on the development of a Consistency Regularized model for Bayesian Personalized Ranking (CR-BPR), addressing to the drawbacks in existing complementary clothing…